Performance to Plan (P2P)

An Engine to Get Real Get Better

4. Data Discovery

Following the Driver Tree Workshop, the organization should secure the data necessary to validate the P2P driver tree, report on progress, and perform necessary analytics and predictive modeling. Key activities during this phase include:

Finalizing a data dictionary (see example below), with metric definitions and authoritative source data

Securing appropriate data access for analysts

Validating cause-and-effect relationships of drivers to outcome metrics

Developing a baseline of historical trends and current performance

Creating a forward-looking view of performance, with key levers to improve future trends

Please see an example of a Data Dictionary below:

Tier	Metric Name	Definition	Data Owner	Data Source	Data Status	Correlation
1	Schedule Adherence	Percentage of CNO avails completing on-time. On-time is defined as completing the availability within the duration stated in the A-30 Ready to Start (RTS) letter or Rebaseline.	CNRMC	Navy Data Environment	Substaintial	N/A
2	Workload Demand vs Past Performance	CNO Maintenance daily workload during execution / CNO Maintenance daily workload 3-9 months prior. (NOTE: Measured quarterly as a rollup of all ships: Metric analyssis provided by CNA.)	CNRMC	Navy Data Environment	Substaintial	Significant

Performance to Plan (P2P)

Please see an example of a Data Dictionary below:

Tier

Metric Name

Definition

Data Owner

Data Source

Data Status

Correlation